Has EdTech Captured the Contemporary Learning Environment?

A Critical Sociotechnical Analysis

Introduction

Educational Technology (EdTech) has emerged as a defining element within contemporary education systems. Learning management systems, AI-driven tutoring platforms, and collaborative digital tools have become deeply integrated into the organisation, delivery, and experience of teaching and learning. The rapid expansion of EdTech, particularly accelerated by the COVID-19 pandemic, has prompted some observers to argue that technology has effectively “captured” the modern learning environment. Nevertheless, this assertion requires critical examination.

This essay contends that EdTech has not fully captured the contemporary learning environment. Instead, its integration into educational structures has been uneven, frequently reinforcing traditional pedagogies while also reshaping the conditions of learning. Drawing upon sociotechnical theory, critical pedagogy, and empirical research, three key dimensions are examined: (1) the structural embedding of EdTech, (2) its limited capacity for pedagogical transformation, and (3) the emergence of new challenges and tensions. The analysis concludes that EdTech is influential but not determinative, co-evolving with, rather than dominating, education.

EdTech as Structural Infrastructure

There is little doubt that EdTech has become infrastructural in contemporary education. Platforms such as learning management systems (LMS), video conferencing tools, and digital assessment environments now underpin daily operations in schools and universities. Selwyn (2016) argues that digital technologies are no longer peripheral but are “integral to the core functioning of education systems.”

The COVID-19 pandemic marked a critical turning point. According to UNESCO (2020), over 1.6 billion learners were affected by school closures, forcing institutions globally to adopt remote learning solutions. This resulted in what Williamson et al. (2020) describe as a “mass experiment” in digital education. Many institutions have since retained hybrid or blended models, suggesting a lasting structural shift.

From a sociotechnical perspective, this embedding reflects the co-construction of technology and social systems (Bijker et al., 1987). Technologies are not simply inserted into education; they reshape organisational routines, communication patterns, and power relations. For example, LMS platforms standardise course delivery, centralise data collection, and enable new forms of monitoring and accountability (Knox, 2019).

However, structural integration does not equate to dominance. Education systems remain governed by longstanding institutional logic curriculum standards, assessment regimes, and cultural expectations—that constrain how technology is used. As Cuban (2001) famously observed, schools are resilient institutions that tend to absorb new technologies without fundamentally altering their core practices.

Pedagogical Continuity and the Limits of Transformation

Despite its widespread adoption, EdTech has often failed to produce deep pedagogical transformation. Much of its use aligns with what Puentedura (2013) conceptualises as the lower levels of the SAMR model—Substitution and Augmentation—where technology replaces or enhances existing practices without fundamentally changing them.

For instance, digital slideshows replace chalkboards, online quizzes replicate paper-based assessments, and recorded lectures mirror traditional instruction. These practices reflect what Selwyn (2011) terms “digitally mediated traditionalism,” where technology supports rather than disrupts established pedagogies.

This continuity can be explained by several factors. First, teacher beliefs and professional identities play a significant role. Ertmer and Ottenbreit-Leftwich (2010) argue that pedagogical change is driven more by teachers’ beliefs than by access to technology. If educators view learning as content transmission, they are likely to use EdTech in ways that reinforce that model.

Second, assessment systems exert a powerful influence. High-stakes testing and standardised curricula limit opportunities for innovation, encouraging teachers to prioritise efficiency and coverage over experimentation (Au, 2011). As a result, even advanced technologies are often used conservatively.

Third, institutional constraints—such as time, training, and technical support—further limit transformative use. Studies have consistently shown that inadequate professional development is a major barrier to effective EdTech integration (Tondeur et al., 2017).

Nevertheless, there are pockets of transformation. Adaptive learning systems, collaborative platforms, and AI-driven tools have the potential to personalise learning, support formative assessment, and foster student agency. Luckin et al. (2016) suggest that AI could enable more responsive and tailored educational experiences. However, such innovations remain unevenly distributed and often experimental rather than systemic.

The Sociotechnical Gap and Inequality

A key limitation of EdTech’s impact lies in the persistent “sociotechnical gap” (Ackerman, 2000)—the mismatch between technological capabilities and social realities. While EdTech promises accessibility and scalability, its effectiveness is shaped by contextual factors, including infrastructure, digital literacy, and socioeconomic conditions.

The digital divide remains a significant concern. Van Dijk (2020) distinguishes between three levels of inequality: access, skills, and outcomes. Even when devices and connectivity are available, differences in digital competence and support structures lead to unequal learning experiences. During the pandemic, students from disadvantaged backgrounds were disproportionately affected by challenges with remote learning (OECD, 2021).

Moreover, the assumption that learners are “digital natives” has been widely critiqued. Bennett et al. (2008) argue that young people’s technological skills are often overestimated, leading to unrealistic expectations about their ability to learn independently using digital tools.

Teachers also face challenges in adapting to new technologies. Professional development is often insufficient, fragmented, or overly technical, failing to integrate pedagogy. This reinforces superficial use and limits the transformative potential of EdTech.

Thus, rather than democratising education, EdTech can reproduce or even exacerbate existing inequalities—a phenomenon Selwyn (2016) describes as the “new digital stratification.”

Emerging Risks and Critical Concerns

Although EdTech presents new opportunities, it simultaneously raises significant ethical, cognitive, and pedagogical concerns.

Cognitive Offloading and Learning Depth

One emerging issue is cognitive offloading—the reliance on external tools to perform cognitive tasks. While offloading can enhance efficiency, excessive dependence may undermine deep learning and critical thinking (Risko & Gilbert, 2016). With AI tools increasingly capable of generating answers, explanations, and even essays, students may engage less in effortful cognitive processes.

These developments prompt important questions regarding the nature of learning in digital environments. If knowledge is perpetually accessible, the definition of what it means to “know” something becomes ambiguous. Educational systems have not yet fully addressed this paradigm shift.

Datafication and Surveillance

EdTech platforms generate vast amounts of data on student behaviour, performance, and engagement. While this data can support learning analytics, it also raises concerns about privacy and surveillance. Williamson (2017) argues that data-driven education risks reducing learners to measurable metrics, shaping behaviour through algorithmic governance.

The commercialisation of EdTech further complicates this issue. Many platforms operate within profit-driven models, raising questions about data ownership and ethical use (Zuboff, 2019).

Algorithmic Bias and Automation

AI-driven systems are not neutral. They reflect the biases embedded in their design and training data. This can lead to unequal outcomes, particularly for marginalised groups (Holmes et al., 2021). Moreover, the automation of educational processes risks devaluing teachers' roles and reducing education to optimised workflows.

EdTech as Co-Evolution, Not Capture

Given these dynamics, it is more accurate to view EdTech as co-evolving with education rather than capturing it. Education is a complex sociocultural system shaped by human relationships, institutional norms, and political forces. Technology interacts with these elements but does not override them.

Biesta (2015) emphasises that education is fundamentally about human development, not just knowledge transmission. Relationships, values, and judgment remain central—elements that technology cannot fully replicate. Similarly, Freire’s (1970) critical pedagogy highlights the importance of dialogue and agency, which cannot be reduced to digital interactions.

EdTech, therefore, operates within constraints. It can amplify, extend, and reshape learning, but it cannot fully determine it. The persistence of traditional practices, the variability of implementation, and the emergence of new challenges all suggest that EdTech’s influence is partial and contested.

Conclusion

EdTech has unquestionably transformed certain aspects of the contemporary learning environment. It now serves as infrastructural support, broadens access to resources, and introduces new possibilities for personalisation and collaboration. However, it has not fully captured education.

Rather, EdTech has been assimilated into existing systems, frequently reinforcing traditional pedagogies while generating new tensions and inequalities. Its impact remains uneven, shaped by sociotechnical factors that constrain its transformative potential.

The key insight is that technology alone does not drive educational change. Meaningful transformation requires alignment between pedagogy, policy, and practice. As such, the future of EdTech depends not only on technological innovation but also on how educators, institutions, and societies choose to integrate and govern it.

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